Comparative Study of Counting Algorithms and Its Performance Analysis
نویسندگان
چکیده
This paper presents comparative analysis of counting algorithms based on image processing in LabVIEW platform. Four different algorithms are tested with cigarette packet images. A total of 100 images are chosen for comparison. Different qualities of images are considered like good image, low light image, out of focus image, and extra bright image. An 80% matching with the template is considered as success. A comparison table is formed and Otsu method is found to be the best one with mean accuracy of counting as 97.5%. The mean accuracy is lowered due to 10% of raw images are out of focus. This paper contributes on the choice of counting algorithms.
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